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Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.

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Title: Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.
Authors: Budenkotte, Thomas1 (AUTHOR), Apostolova, Ivayla1 (AUTHOR), Opfer, Roland2 (AUTHOR), Krüger, Julia2 (AUTHOR), Klutmann, Susanne1 (AUTHOR), Buchert, Ralph1 (AUTHOR) r.buchert@uke.de
Source: European Journal of Nuclear Medicine & Molecular Imaging. Apr2024, Vol. 51 Issue 5, p1333-1344. 12p.
Database: Academic Search Ultimate
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  Data: Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Nuclear+Medicine+%26+Molecular+Imaging%22">European Journal of Nuclear Medicine & Molecular Imaging</searchLink>. Apr2024, Vol. 51 Issue 5, p1333-1344. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176221506
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        Value: 10.1007/s00259-023-06566-w
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        Text: English
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      – TitleFull: Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.
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            NameFull: Apostolova, Ivayla
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            – D: 01
              M: 04
              Text: Apr2024
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              Y: 2024
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